DocumentCode :
2281687
Title :
Intelligent optimization techniques for optimal power flow using Interline Power Flow Controller
Author :
Mohamed, Khalid H. ; Rao, K. S Rama
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
fYear :
2010
fDate :
Nov. 29 2010-Dec. 1 2010
Firstpage :
300
Lastpage :
305
Abstract :
In this paper the control parameters of voltage source converters used in Interline Power Flow Controller (IPFC) are designed to realize optimal power flow in a power system with modified Newton-Raphson method. The optimal control parameters are derived to minimize the transmission line losses employing three intelligent optimization techniques, namely Particle Swarm Optimization (PSO), Genetic Algorithm and Simulated Annealing. The selected techniques are employed on IEEE 30-bus bench mark power system and the optimal parameters of IPFC, the voltage profile and the transmission line losses of power system are derived from the simulations. The simulation results validate the efficacy of the three optimization techniques and PSO technique is proved to be more efficient compared to the other two techniques.
Keywords :
genetic algorithms; load flow; load flow control; particle swarm optimisation; power convertors; power transmission lines; simulated annealing; 30-bus bench mark power system; IPFC; PSO technique; intelligent optimization techniques; interline power flow controller; optimal control parameters; optimal power flow; optimization algorithm; particle swarm optimization; simulated annealing; transmission line; voltage source converters; Genetic Algorithm; Interline Power Flow Controller; Modified Newton-Rapson Method; Optimal Power Flow; Particle Swarm Optimization; Simulated Annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy (PECon), 2010 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-8947-3
Type :
conf
DOI :
10.1109/PECON.2010.5697600
Filename :
5697600
Link To Document :
بازگشت